A study on apportionment of credits of fuzzy classifier system for knowledge acquisition of large scale systems

17 December 2002

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 1797-1800 vol.3
https://doi.org/10.1109/fuzzy.1994.343587

Abstract

This paper studies a knowledge acquisition of large scale systems using a fuzzy classifier system (FCS). A new method for apportionment of credits is proposed in this paper. The new method makes it possible to fully utilize the feature of the genetic algorithm, i.e. the effects of the crossover operator. Simulations to obtain avoiding rules of a ship are done to show that the FCS can acquire fuzzy rules for complex tasks.<>

Keywords

FUZZY SYSTEMS
KNOWLEDGE ACQUISITION
MARINE VEHICLES
LARGE-SCALE SYSTEMS
FUZZY SETS
GENETIC ALGORITHMS
ELECTRONIC MAIL
FUZZY CONTROL
ELECTRICAL EQUIPMENT INDUSTRY
INDUSTRIAL CONTROL

This publication has 1 reference indexed in Scilit:

Fuzzy Clustering Method by Discretionary Fuzzy Performance Function : Automatic Rule and Membership Function Generation
Journal of Japan Society for Fuzzy Theory and Systems, 1992